Issue |
EPL
Volume 88, Number 5, December 2009
|
|
---|---|---|
Article Number | 59002 | |
Number of page(s) | 6 | |
Section | Geophysics, Astronomy and Astrophysics | |
DOI | https://doi.org/10.1209/0295-5075/88/59002 | |
Published online | 16 December 2009 |
About some possible empirical evidences in favor of a cosmological time variation of the speed of light
Laboratoire U3B, UMR 6204 of CNRS, Faculté des Sciences - 2 rue de la Houssinière, Nantes, France, EU
Corresponding author: Yves-Henri.Sanejouand@univ-nantes.fr
Received:
4
October
2009
Accepted:
16
November
2009
Possible empirical evidences in favor of the hypothesis that the speed of light decreases by a few centimeters per second each year are examined. Lunar laser ranging data are found to be consistent with this hypothesis, which also provides a straightforward explanation for the so-called Pioneer anomaly, that is, a time-dependent blue-shift observed when analyzing radio tracking data from distant spacecrafts, as well as an alternative explanation for both the apparent time-dilation of remote events and the apparent acceleration of the Universe. The main argument against this hypothesis, namely, the constancy of fine-structure and Rydberg constants, is discussed. Both of them being combinations of several physical constants, their constancy implies that, if the speed of light is indeed time-dependent, then at least two other “fundamental constants” have to vary as well. This puts severe constraints on the development of any future varying–speed-of-light theory.
PACS: 95.55.Pe – Lunar, planetary, and deep-space probes / 98.80.Es – Observational cosmology (including Hubble constant, distance scale, cosmological constant, early Universe, etc.) / 06.20.-f – Metrology
© EPLA, 2009
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.